2021· International Journal of Commerce, Finance and Digital Economy· Vol 4, pp. 1-15· 0 citations
TL;DR
The study highlights the critical role of digital technologies in strengthening supply chain resilience and provides practical insights for managers, policymakers, and researchers seeking to build sustainable and resilient supply chain ecosystems.
Abstract
Digital technologies are transforming modern supply chains by improving efficiency, visibility, and responsiveness while helping organizations address disruptions caused by natural disasters, geopolitical conflicts, pandemics, cyberattacks, and market uncertainties. Supply chain resilience has evolved from traditional reactive risk management to proactive and adaptive approaches supported by technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, Big Data Analytics, Cloud Computing, and Digital Twins. These technologies enhance real-time visibility, predictive capabilities, collaboration, and resource optimization, enabling organizations to identify risks and respond effectively to disruptions. This study explores key resilience strategies in digitally enabled supply chains, focusing on technological enablers, organizational capabilities, and resilience dimensions including visibility, flexibility, agility, adaptability, and recovery capability. A conceptual framework is developed to examine the relationship between digital technologies and supply chain resilience. Using qualitative and quantitative assessment methods, the study evaluates resilience performance under various disruption scenarios through resilience metrics and performance indicators. The findings reveal that organizations adopting integrated digital resilience strategies achieve superior disruption management, risk mitigation, and recovery performance compared to traditional supply chain systems. The study highlights the critical role of digital technologies in strengthening supply chain resilience and provides practical insights for managers, policymakers, and researchers seeking to build sustainable and resilient supply chain ecosystems.
The global supply chains have also become susceptible to disruptions that are inflicted due to the geopolitical tensions, pandemics, cyber threats, climate change, and market volatility. With the advent of the digital era, the development of the supply chain in organizations has been revolutionized in the way they are designing, managing, and recovering their supply chains. There are new opportunities offered by digital technologies in order to improve supply chain resilience (SCR), created by artificial intelligence, blockchain, Internet of Things (IoT), big data analytics, and cloud computing. The current paper is the extensive exploration of the supply chain resilience in the digital era with the focus on the way the digitalization process allows identifying the risks in advance, implementing the adaptive response mechanisms, and providing quick recovery opportunities. The article methodically examines the available literature to formulate the main dimensions of resilience and digital enablers alongside strategic models used. It suggests a systematic approach, which includes both digital maturity assessment and resiliency capability modeling as well as performance evaluation metrics. The empirical evidence draws your attention to the issue of digital technologies and their role in supply chain robustness, agility, and sustainability. Findings show transforming her supply chains with digital capabilities allows having better disruption preparedness, led to lower recovery time, and enhanced decision-making quality. The article has a value to both theory and practice as it summarizes constructs of digital resilience and has practical implications to managers interested in developing resilient supply chains that meet the needs of future consumers.
Marco Bianchi· International Journal of Com...· 0 citations
Global industrial chains continue to face successive shocks from geopolitical conflicts, trade protectionism, and various unforeseen risks. Supply chain resilience is no longer confined to a management issue at the corporate operational level; it has risen to become a core strategic priority for national industrial security. The iterative implementation of digital technologies-such as the Internet of Things, big data, artificial intelligence, and blockchain-provides new analytical perspectives and practical pathways for building risk-resilient supply chain systems.This paper systematically traces the evolution of the concept of supply chain resilience, clarifying the logical progression of academic understanding from static post-disaster recovery to dynamic adaptation across the entire lifecycle. By integrating foundational theories such as dynamic capabilities, organizational information processing, and complex co-evolution, it identifies four mainstream pathways through which digital technologies empower supply chain resilience: information sharing, collaborative optimization, resource coordination, and risk prevention and control.At the same time, this paper dissects the underlying causes of the significant heterogeneity in the effects of digital empowerment from three dimensions: regional institutional environments, industrial network structures, and internal corporate characteristics. Although existing literature has accumulated a wealth of research findings, there remain research gaps, including insufficient analysis of the interaction among multiple mechanisms, a scarcity of dynamic time-series studies, weak empirical evidence regarding specific industry segments and network structures, and a lack of critical discussion on the potential risks of digitalization.Accordingly, future research could establish a dynamic, integrated analytical framework that synthesizes multiple theories to distinguish the differentiated empowerment pathways of various digital technologies; advance cross-industry, multi-tier network comparative empirical studies to refine standardized measurement systems and hybrid research paradigms; and dialectically examine the dual impacts of digital transformation, balancing its benefits with the risks it entails.
Yu-Ting You, Chu-Chu Sun· Scientific Journal of Econom...· 0 citations
Today supply chains are working under high demand volatility, tight regulatory requirements and sustainability pressure. Existing literature considers digital twins (DTs) as technological tools to anticipate, absorb, adapt and recover quickly from disruptions as compared to strategic capability integrated into organizational processes. Tools alone cannot ensure resilience, and without integrating DTs into firm's core processes, it cannot develop the ability to sense, seize, and reconfigure and adapt to the uncertain nature of disruptions. This narrow focus is insufficient for real-world resilience needs, where real-time collaboration, continuous adaptation and learning from past data are critical.
To address the gap between digitalization literature and resilience theory, we conceptualized a framework explaining how DTs enable supply chain visibility (SCV) and supply chain risk management (SCRM) towards supply chain resilience (SCR). Adopting a dynamic capability view (DCV), we used empirical data to explain the association among DTs, SCV, SCRM and SCR using partial least squares-structural equation modelling (PLS-SEM). Based on a 5-point Likert Scale survey questionnaire, data from 246 supply chain professionals were collected.
DTs are key enablers of SCV with beta value of 0.759, which further facilitate SCRM with a beta value of 0.605. It is also found that DTs enhance the SCR (0.629) not only by improving the SCV and SCRM, but also directly facilitating the real-time simulations and predictive analytics. The relationship between SCRM and SCR (0.146) indicates that traditional SCRM practices without digital interventions are not very helpful towards SCR. Our study also indicates that SCV is critical as compared to SCRM (SCV-SCR with 0.272), indicating the importance of real-time information sharing.
This study enhances the body of knowledge by expanding the theoretical boundaries of DCV, where the study highlights the role of DTs as a strategic enabler towards supply chain resilience. Managers need to invest in DTs to boost visibility and enhance risk management capabilities that lead to stronger SCR. DTs act as a sensing capability for SCV that acts as a foundation for seizing and reconfiguring the SCRM.
Sachin Modgil, R. Singh· International Journal of Pro...· 0 citations
This study investigates the role of digital technologies and sustainable supply chain practices in building supply chain resilience in multinational IT firms. Drawing on a dataset compiled from reports of 95 companies, the author develops and tests a PLS-SEM model in which Digitalization Capability and Green Logistics Outcomes jointly influence Supply Chain Operational Performance (OP) and Supply Chain Resilience. Results show that digitalization capability is the dominant driver of both operational performance and supply chain resilience, with a total effect of 0.756 through direct and mediated pathways. Operational performance is confirmed as a strong and significant resilience predictor, explaining 67.5% of variance in SCR. Green logistics outcomes exert a modest but significant effect on operational performance and partially mediate resilience through OP. These findings position digital transformation as a resilience imperative and green logistics as an operationally embedded lever with direct implications for smart transportation governance and sustainable supply chain management.
Aziza Chachdi· International Journal of Sus...· 0 citations
The automotive industry is evolving rapidly, but many supply chains still operate through disconnected systems that limit visibility, delay decisions, and reduce resilience. This research presents a practical blueprint for transforming traditional supply chains into an AI-native synchronized ecosystem.
Readers will gain insights into how Multi-Agent Artificial Intelligence (MAAI), Digital Twins, Reinforcement Learning, predictive analytics, and mathematical optimization can work together to synchronize production, supplier collaboration, inventory, warehousing, yard operations, and transportation within a unified enterprise architecture.
The paper goes beyond theory by introducing a vendor-neutral reference architecture, implementation roadmap, governance framework, and technology stack that organizations can adapt to their own digital transformation journey. It also identifies key operational inefficiencies observed across global automotive OEMs and demonstrates how AI can improve visibility, resilience, planning agility, and enterprise-wide decision-making.
I look forward to engaging with researchers, supply chain professionals, and industry leaders to exchange ideas and shape the future of intelligent automotive supply chains.
P. Mishra· International Journal For Mu...· 0 citations
Supply chain resilience has become increasingly critical in turbulent environments, yet limited evidence exists on how dynamic capabilities and digitalisation jointly shape rlesilience and sustainability in resource‐constrained agricultural systems. This study addresses this gap by integrating Dynamic Capability Theory and Resilience Theory into a unified capability–resilience–sustainability framework and examining these relationships within Benin's cotton sector. Using survey data from 464 organisational actors operating across Benin's cotton value chain and a hybrid analytical approach combining PLS‐SEM, Random Forest, XGBoost and Monte Carlo simulation, the findings indicate that sensing, seizing and transforming capabilities significantly strengthen supply chain resilience, with transforming capability exerting the strongest influence. Supply chain resilience mediates the relationship between dynamic capabilities and economic, environmental and social performance, while the structural model explains 54% of the variance in resilience. Digital technology adoption strengthens the effects of sensing and transforming capabilities on resilience, whereas institutional support reinforces the contribution of seizing capability to sustainability performance. Machine‐learning analyses complement the structural model by identifying nonlinear and threshold‐based relationships that extend the SEM findings. The study contributes to the literature by providing evidence that resilience serves as the principal behavioural pathway through which dynamic capabilities support triple‐bottom‐line performance.
Jean Tychique S. Gbeliho Dossa, Jun-Dong Hou, F. Sarpong et al.· Business Strategy and the En...· 0 citations
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